Job Description
Job DescriptionOverview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world, headquartered in Leverkusen, and areas of business include pharmaceuticals; consumer healthcare products, agricultural chemicals, seeds and biotechnology products. Job Title: IT Data Engineer (Entry) Location: Creve Coeur, MO 63167 Duration: 12 Months Job Type: Temporary Assignment Work Type: Hybrid Job Description:
Position Overview:
We are seeking a highly motivated data engineer with demonstrated experience scaling and delivering production quality data systems to join our Science team within Digital Farming Solutions at client Crop Science. You will work closely with key partners, including data engineers and data scientists, to develop reliable, scalable and maintainable machine learning solutions.
What You Will Do:
- Write robust, well-documented code
- Engage with colleagues with diverse technical backgrounds and expertise to understand feature, model and business requirements, and develop solutions to meet automation and scaling needs
- Evaluate existing data and model pipelines, and provide recommendations to support business and technical requirements
- Utilize tools and/or infrastructure developed by technical delivery partners to ensure proper data architectures and computational infrastructure is available to support rapid development and testing on machine and deep learning models that create value for our farmers
- Collaborate across the Science organization to create high-quality, reproducible tools (e.g. templates, packages and dashboards) that will accelerate delivery of customer value
- Undertake written & verbal communication with stakeholders in various parts of the organization in the form of detailed documentation and presentations
Basic Qualifications:
- Bachelor’s degree in data science, computer science, or related quantitative field
- A minimum of 3 years' working experience is required for the following
- Strong Python coding skills for development and visualizations, including experience with standard packages (numpy, pandas, matplotlib, seaborn)
- Familiar with Extract, Transform, and Load (ETL) processes and simple pipeline creation
- Proficient use of SQL or Spark to extract and manipulate data from databases, data warehouses, and data lakes
- Experience utilizing Git for collaborative code development
- Experience with cloud-based platforms (AWS, GCP, Azure) and basic services (ie. S3, Lambda, Dataproc)
- Experience with oral presentation and technical writing
Preferred Qualifications:
- Excitement to learn new topics, develop new skills and use new tools
- Experience with web services, api and database design
- Experience applying data quality concepts
- Familiarity with NOSQL tools like Hadoop (hive, pig, presto) and PySpark
- Experience with virtual machines and cloud computing
- Interdisciplinary communication and collaboration skills
- Experience with application of statistics to environmental or agricultural problems
- Expertise in data interoperability and analytics
TekWisen® Group is an equal opportunity employer supporting workforce diversity.
TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.
Our global footprint covers six countries: United States, Canada, Australia, India, United Kingdom and the Philippines. This allows us to work in close partnership with organizations and manage everything from global talent needs with demanding resourcing strategies, to single sites with lower recruitment volumes.
TekWissen® is an equal opportunity employer supporting workplace diversity.